Assessment of the fractal dimension of images derived by biopsy of pancreatic tissue

Implications for tumor diagnosis

A. Scampicchio, A. Tura, S. Sbrignadello, F. Grizzi, S. Fiorino, S. Blandamura, Lorenzo Finesso

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pancreatic tumors are characterized by marked deposition of extra-cellular matrix, also called desmoplasia, which interacts with tumor cells and facilitates the tumor onset and progression. Thus, it would be relevant to develop a method to quantitatively assess the amount of desmoplasia in images derived from bioptic tissue fragments of the pancreas. To this purpose, we applied the principles of fractal geometry, for the assessment of the fractal dimension of images of Masson's trichrome stained pancreatic tissue. Thus, we implemented an algorithm for the computation of the Hausdorff dimension, based on the box counting method: the image is split into boxes of identical size, and the number of boxes needed to cover the features of interest in the image is counted. The process is then iterated with boxes of lower size, and finally all box counts obtained at the different steps are considered, to get the estimate of the Hausdorff dimension, D. After validating the algorithm with appropriate tests, we applied it to pancreatic images, where some regions of interest (ROI) were identified, including both healthy and non-healthy (fibrotic) tissue. We found that non-healthy ROI typically show higher D values than healthy ROI (1.927±0.086 vs. 1.750±0.070 (mean±SD), p=0.0013). Thus, our approach may be of help for an accurate quantification of the degree of severity of pancreatic tumors.

Original languageEnglish
Title of host publicationXIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
PublisherSpringer Verlag
Pages393-398
Number of pages6
Volume57
ISBN (Print)9783319327013
DOIs
Publication statusPublished - 2016
Event14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 - Paphos, Cyprus
Duration: Mar 31 2016Apr 2 2016

Other

Other14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
CountryCyprus
CityPaphos
Period3/31/164/2/16

Fingerprint

Biopsy
Fractal dimension
Tumors
Tissue
Fractals
Cells
Geometry

Keywords

  • Adenocarcinoma
  • Desmoplasia
  • Hausdorff-Besicovitch dimension
  • Hurst exponent
  • Image processing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Scampicchio, A., Tura, A., Sbrignadello, S., Grizzi, F., Fiorino, S., Blandamura, S., & Finesso, L. (2016). Assessment of the fractal dimension of images derived by biopsy of pancreatic tissue: Implications for tumor diagnosis. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 (Vol. 57, pp. 393-398). Springer Verlag. https://doi.org/10.1007/978-3-319-32703-7_77

Assessment of the fractal dimension of images derived by biopsy of pancreatic tissue : Implications for tumor diagnosis. / Scampicchio, A.; Tura, A.; Sbrignadello, S.; Grizzi, F.; Fiorino, S.; Blandamura, S.; Finesso, Lorenzo.

XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. Vol. 57 Springer Verlag, 2016. p. 393-398.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scampicchio, A, Tura, A, Sbrignadello, S, Grizzi, F, Fiorino, S, Blandamura, S & Finesso, L 2016, Assessment of the fractal dimension of images derived by biopsy of pancreatic tissue: Implications for tumor diagnosis. in XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. vol. 57, Springer Verlag, pp. 393-398, 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016, Paphos, Cyprus, 3/31/16. https://doi.org/10.1007/978-3-319-32703-7_77
Scampicchio A, Tura A, Sbrignadello S, Grizzi F, Fiorino S, Blandamura S et al. Assessment of the fractal dimension of images derived by biopsy of pancreatic tissue: Implications for tumor diagnosis. In XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. Vol. 57. Springer Verlag. 2016. p. 393-398 https://doi.org/10.1007/978-3-319-32703-7_77
Scampicchio, A. ; Tura, A. ; Sbrignadello, S. ; Grizzi, F. ; Fiorino, S. ; Blandamura, S. ; Finesso, Lorenzo. / Assessment of the fractal dimension of images derived by biopsy of pancreatic tissue : Implications for tumor diagnosis. XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. Vol. 57 Springer Verlag, 2016. pp. 393-398
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